Epochs: 20
Image Shape: (300, 400, 3)

Confusion Matrix:
Bobcat, Coyote, Deer, Elk, Human, Not Interesting, Raccoon, Weasel
[[  0   0   2   0   0   0   0   0]
 [  0   0  28   0   0   0   0   0]
 [  0   0 678   0   0   0   0   0]
 [  0   0 571   0   0   0   0   0]
 [  0   0  19   0   0   0   0   0]
 [  0   0 261   0   0   0   0   0]
 [  0   0  38   0   0   0   0   0]
 [  0   0   3   0   0   0   0   0]]
              precision    recall  f1-score   support

           0     0.0000    0.0000    0.0000         2
           1     0.0000    0.0000    0.0000        28
           2     0.4238    1.0000    0.5953       678
           3     0.0000    0.0000    0.0000       571
           4     0.0000    0.0000    0.0000        19
           5     0.0000    0.0000    0.0000       261
           6     0.0000    0.0000    0.0000        38
           7     0.0000    0.0000    0.0000         3

    accuracy                         0.4238      1600
   macro avg     0.0530    0.1250    0.0744      1600
weighted avg     0.1796    0.4238    0.2522      1600

Accuracy and loss according to tensorflow model.evaluate():
Accuracy on test data: 0.4238
Loss on test data: 1.4049
